Python will be used for all coding assignments ... and ready access to data and simulation tools have helped make Deep Reinforcement Learning one of the most powerful tools for dealing with ...

Python's influence in AI development is undeniable, bridging the gap between human intelligence and machine learning ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

In this project, we aim at using deep reinforcement learning techniques to ... Juniors and Seniors who have programming experience with Python and C++. Working knowledge of Machine learning concepts ...

Model instability: RL models, especially when used with neural networks (as in deep reinforcement learning), can be unstable during training, requiring careful tuning of hyperparameters to avoid ...

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...